Here’s a full draft of the upcoming second edition of my “Data Visualization: A Practical Introduction”: socviz.co

@kjhealy.co has a new version of his data visualization book coming out and 1) you’d be a fool not to get it especially if you do R stuff 2) it’s gonna be even more beautiful than the first one, which is truly lovely book 3) he put the ENTIRE content on his website for free, you lucky so-and-so

On #WorldBookDay check out our last set of recommendations for economics books to read based around behavioural economics. As discussed in the podcast. #EconSky podcasts.apple.com/gb/podcast/n...

Another shiny app. This one helps you see the implications of selected hyper-priors in a hierarchical model. It probably has an audience of about four people, one of whom is me, but it is something I worry about a lot. jamesblandecon.shinyapps.io/CalibrateMyH... #TeachEcon #EconSky

It’s fun! 🤩 My CRRA coefficient is 0.34. My probability weighting function evaluated at 50% is 57.6%. I made 15 decisions. Estimate your rank-dependent utility preferences here: jamesblandecon.shinyapps.io/RDUAdaptive/

v0.0.5 is now live! This update adds in a risk premium posterior plot, becuase interpreting RDU parameters on their own is hard. jamesblandecon.shinyapps.io/RDUAdaptive/

v0.0.4 is up and running! This is a major change to what goes on behind the scenes. 1. My dodgy MH sampler replaced with R's adaptMCMC functions 2. Fewer samples used to evaluate the objective function jamesblandecon.shinyapps.io/RDUAdaptive/ #TeachEcon

My CRRA coefficient is 0.10. My probability weighting function evaluated at 50% is 66.2%. I made 50 decisions. Estimate your rank-dependent utility preferences here: jamesblandecon.shinyapps.io/RDUAdaptive/ #TeachEcon #EconSky

my course notes on a bayesian workflow for (single agent) cognitive modeling are now fully revised and online: fusaroli.github.io/AdvancedCogn... Predictive checks, updating checks, sensitivity analyses and simulation based calibration in @mc-stan.org Feedback is very welcome!

A bit about my app that elicits your rank-dependent utility preferences using an adaptive algorithm #EconSky #TeachEcon jamesblandecon.shinyapps.io/RDUAdaptive/

My CRRA coefficient is 0.20. My probability weighting function evaluated at 50% is 82.3%. I made 49 decisions. Estimate your rank-dependent utility preferences here: jamesblandecon.shinyapps.io/RDUAdaptive/ #EconSky #TeachEcon #TeachBE

Yet another risk preference app in the works. This one estimates rank-dependent utility preferences with an adaptive algorithm. Yes, @akhilrao.bsky.social , you will still be able to download your posterior.

My CRRA coefficient is 0.26. I made 40 decisions and eliminated 69.0% of the prior uncertainty. You can too: jamesblandecon.shinyapps.io/RiskAppAdapt... #EconSky #TeachEcon #TeachBE

Another app for estimating your risk preferences: jamesblandecon.shinyapps.io/RiskAppAdapt... This one uses a greedy adaptive algorithm based on my working paper: papers.ssrn.com/sol3/papers.... #EconSky #TeachEcon #TeachBE

ESTIMATE MY RISK PREFERENCES! jamesblandecon.shinyapps.io/RiskApp/ v0.0.6 now available. This update includes - A measure of choice consistency in the report - The option to see the lotteries as pie charts. The bar chart option remains #TeachEcon #TeachBE #EconSky

I just estimated my risk preferences! My CRRA coefficient is 0.3. Try it here: jamesblandecon.shinyapps.io/RiskApp/

ESTIMATE MY RISK PREFERENCES! Another update, v0.0.5 - Now you get a CRRA coefficient, becuase they are more widely used - Risk premium calculation instead of certainty equivalent - Bland (2025) priors, becuase I like them #EconSky #TeachEcon #TeachBE jamesblandecon.shinyapps.io/RiskApp/

I just estimated my risk preferences! My CARA coefficient is 1.6. Try it here: jamesblandecon.shinyapps.io/RiskApp/ @jamesbland.bsky.social For kicks I did -1.5M v 5M

I just estimated my risk preferences! My CARA coefficient is 0.61. Try it here: jamesblandecon.shinyapps.io/RiskApp/ #CARAestimate #TeachEcon #TeachBE

ESTIMATE MY RISK PREFERENCES Version 0.0.4 is now available here: jamesblandecon.shinyapps.io/RiskApp/ I have added buttons to share your results here and on the bird site. #CARAcoefficient #TeachEcon #TeachBE

ESTIMATE MY RISK PREFERENCES Version 0.0.3 now lets you download your choice data and posterior distribution #TeachBE #TeachEcon #EconSky jamesblandecon.shinyapps.io/RiskApp/

Version 0.0.2 now includes a certinaty equivalent calculation to put your estimates into context jamesblandecon.shinyapps.io/RiskApp/

ESTIMATE MY RISK PREFERENCES is now available on shinyapps! Ever wanted a posterior distribution of your CARA coefficient? This app helps you elicit it. Please share results and user experience! #TeachBE #TeachEcon #EconSky jamesblandecon.shinyapps.io/RiskApp/

ESTIMATE MY RISK PREFERENCES v0.0.1, A shiny app It seems too big for shinyapps, so I've pushed it to my GitHub so you can download it and run it locally. #EconSky github.com/JamesBlandEc...

It is coming together! I decided to use Claude for coding suggestions in the end, but I made sure I knew what I was doing. #TeachBE #EconSky

Is anyone interested in knowing their risk preferences. I am thinking about making a Google form to fill out. You'd have about 80 binary decisions. I would then use @mc-stan.org to estimate your utility function and give you a short report about what it means. Also, how do I automate this? #TeachBE

A new blog post! In which @matterofstats.bsky.social and I estimate our own risk preferences in @mc-stan.org with the hope of best responding to a proper scoring rule. #EconSky #AFL jamesblandecon.github.io/posts/2026-0...

#statstab #495 Unsure Calculator Thoughts: Nifty way to incorporate your uncertainty when making some calculations and decisions. #uncertainty #calculator #unsure #chance #sensitivity filiph.github.io/unsure/

I have said this before, but eliminating programs that teach a lot of students but don’t have many majors is like a restaurant not buying flour in its grocery delivery because people aren’t ordering flour on the menu.

"Friends" is a beloved American sitcom that aired from 1994 to 2004, following six young adults—Rachel, Ross, Monica, Chandler, Joey, and Phoebe—living in New York City. The show explores their friendships, romances, careers, and personal growth over ten seasons.

A new blog post! In which I eagerly await the upcoming AFL season and try my hand at probabilistic forecasting. Thanks for the motivation to do this @matterofstats.bsky.social ! #EconSky jamesblandecon.github.io/posts/2026-0...

A cool JMC suggested I aslo include real GDP growth in my analysis. A really easy inclusion. So today I present to you my estimated difficulty of forecasting real GDP growth. #EconSky Who am I? Why am I interested in Macro and Forecasting? What has happened to me? This keeps me up at night.

Very pleased that our local projections dif-in-dif paper is now out in the Journal of Applied Econometrics. Joint with @dgirardi.bsky.social, Jorda, and Taylor. It's a tool that we think many applied economists will find useful (indeed many already have). 🧵

OK. I tried something different this weekend. I wrote something on forecasting. I have no idea if this has been done before, or whether it's any good, but I had fun doing it. So here is a new, very drafty working paper of mine and a thread. #EconSky jamesblandecon.github.io/papers/Forec...

So this has been up for a day, and I've got some very good wrong answers, and a good answer by @econmaett.github.io of the other one I posted. This time series is the fraction of forecasts of unemployment made in the SPF that are rounded to a tenth of a percentage point. #EconSky

Today, my pipes have pipes. Pipe-ception, if you will.

Hello #EconSky hive mind! I've gone down a rabbit hole that is a bit weird for me. Can anyone help me out with good references for work on the Survey of Professional Forecasters? In particular, I'm interested in work that evaluates how well each forecaster does.

NEW Summer School in Theory-based Experimental Economics + follow-on conference @Caltech 15-19 June 2026 Please spread the word.

Anyone want to play guess the time series? Here is something I'm playing with at the moment. Maco-related, so it's only tangentially related to my usual research, but it is related.

from the bird site

THAT'S WHY IM HERE!!!

After watching Richard McElreath's lecture on measurment models, I got comparatively more excited about my working paper with Yaroslav on accounting for non-classical measurement error in belief-updating experiments and my foray into measurement and time-series econometrics. A thread. #EconSky

Watching Richard McElrath's lecture on measurement models "These are problems that are always here". Couldn't agree more #EconSky

Is there an #rstats package to visualize how many observations get dropped by each exclusion criteria? Looking for a nice visual way to summarize a sample

I'm new to this press-conference-watching thing. Is it normal for them to start (at least) 30mins after the scheduled time? www.pbs.org/newshour/pol...

Update on this haiku: this applied to two papers of mine at the same journal. One submitted in late September, the other in early October. After a quick email to the editorial board, one was desk rejected and the other is now under review. The squeaky wheel gets the grease!

Team "Elsevier Highlights Subversion" strikes again! Best one yet! @deankarlan.bsky.social, Monica Lambon-Quayefio, Utsav Manjeer, @christopher-udry.bsky.social

Congrats to my undergrad advisor, Prof Jeff Borland, on the Order of Australia www.canberratimes.com.au/story/916044...

Proposal: measure journal decision times in tenure clock units. I.e. divide by five years, because that's usually when you have to submit documents. Examples: - I received a desk rejection today. 0.083 units. - My JMP took 0.1 units to be reviewed and rejected at a journal. #EconSky